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UPS delivers customer wins with generative AI

CIO

United Parcel Service last year turned to generative AI to help streamline its customer service operations. Customer service is emerging as one of the top use cases for generative AI in today’s enterprise, says Daniel Saroff, group vice president of consulting and research at IDC.

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AI Knowledge Management: How to Use Generative AI for Knowledge Bases

Ivanti

Interest in generative AI has skyrocketed since the release of tools like ChatGPT, Google Gemini, Microsoft Copilot and others. Organizations are treading cautiously with generative AI tools despite seeing them as a game changer. Knowledge articles, particularly for HR, can be personalized by region or language.

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ChatGPT, the rise of generative AI

CIO

Over the last few months, both business and technology worlds alike have been abuzz about ChatGPT, and more than a few leaders are wondering what this AI advancement means for their organizations. It’s only one example of generative AI. GPT stands for generative pre-trained transformer. What is ChatGPT?

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Generative AI hallucinations: What can IT do?

CIO

Generative AI adoption is growing in the workplace—and for good reason. But the double-edged sword to these productivity gains is one of generative AI’s known Achilles heels: its ability to occasionally “ hallucinate ,” or present incorrect information as fact. Here are a range of options IT can use to get started.

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Introducing guardrails in Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

Knowledge Bases for Amazon Bedrock is a fully managed capability that helps you securely connect foundation models (FMs) in Amazon Bedrock to your company data using Retrieval Augmented Generation (RAG). In the following sections, we demonstrate how to create a knowledge base with guardrails.

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BMC Helix: Leading the charge in Generative AI-driven enterprise service management

CIO

Generative AI is likely the most heavily hyped technology innovation since the World Wide Web during the dot-com boom of the late 1990s. Generative AI seems to be following the same path. Generative AI seems to be following the same path. But generative AI can go well beyond scanning the knowledge base.

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Build an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and AWS CloudFormation

AWS Machine Learning - AI

An end-to-end RAG solution involves several components, including a knowledge base, a retrieval system, and a generation system. Solution overview The solution provides an automated end-to-end deployment of a RAG workflow using Knowledge Bases for Amazon Bedrock. Choose Sync to initiate the data ingestion job.